Duplicate from Mobile-R1/Mobile-R1

Co-authored-by: Mobile-R1 <Mobile-R1@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- zh
+license: apache-2.0
+size_categories:
+- 1K<n<10K
+pretty_name: Mobile-R1
+task_categories:
+- image-text-to-text
+tags:
+- Multimodal
+- GUI
+- Agent
+---
+
+# Dataset Card for Mobile-R1
+
+
+## Dataset Description
+
+- **Homepage:** [Mobile-R1 homepage](https://mobile-r1.github.io/Mobile-R1/)
+- **Paper:** [Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training](https://huggingface.co/papers/2506.20332)
+
+## Dataset Structure
+
+- `images/`: All the screenshots
+- `data.jsonl`: The trajectory data
+
+
+### Data Fields
+
+All screenshots are stored in the `images/` directory.
+
+We describe the structure of a single trajectory entry from the file `data.jsonl`, which contains the full interaction trajectories and action history.
+
+
+- `app_name`: String. The name of the mobile application (e.g., "闲鱼" / Xianyu) where the task is performed.
+- `trajectory_length`: Integer. Number of steps in the trajectory, indicating how many actions were taken to complete the task.
+- `instruction`: String. The user instruction describing the goal of the task (e.g., "Open Xianyu and search for the cheapest GTX 5090").
+- `system`: String. System prompt provided to the agent, guiding its reasoning and action prediction behavior.
+- `image_width`: Integer. Width of the device screen at the time of screenshot capture, used for coordinate alignment.
+- `image_height`: Integer. Height of the device screen at the time of screenshot capture, used for coordinate alignment.
+- `trajectory`: List of step dictionaries. Each entry corresponds to one interaction step and contains:
+  - `image`: String. Filename of the PNG image capturing the screen at that step.
+  - `thought`: String. The agent's internal reasoning about the current state and next action.
+  - `subtask`: String. A concise description of the current subtask to be completed.
+  - `action`: String. A JSON-formatted string representing the function call executed at this step:
+    - `name`: Function name (e.g., `"mobile_use"`).
+    - `arguments`: Dictionary containing the following action parameters:
+      - `action` (string, required): The action to perform. Supported values:
+        - `"key"`: Perform a key event (e.g., `"volume_up"`, `"power"`, `"clear"`; `text` required).
+        - `"click"`: Click at the specified screen coordinate (`coordinate` required).
+        - `"long_press"`: Long-press at the specified coordinate for a given duration (`coordinate`, `time` required).
+        - `"swipe"`: Swipe from one coordinate to another (`coordinate`, `coordinate2` required).
+        - `"type"`: Input specified text into the active input box (`text` required).
+        - `"system_button"`: Press a system button (`button` required; options: `"Back"`, `"Home"`, `"Menu"`, `"Enter"`).
+        - `"open"`: Open an app (`text` required for app name).
+        - `"wait"`: Wait for the specified number of seconds (`time` required).
+        - `"terminate"`: Terminate the current task and report its status (`status` required, `"success"` or `"failure"`).
+      - `coordinate` (array of two ints): [x, y] pixel coordinates from the top-left corner. Required for `"click"`, `"long_press"`, and `"swipe"`.
+      - `coordinate2` (array of two ints): [x, y] pixel coordinates for the end point. Required only for `"swipe"`.
+      - `text` (string): The text to input (for `"type"`, `"key"`, or app name for `"open"`).
+      - `time` (number): Duration in seconds. Required for `"long_press"` and `"wait"`.
+      - `button` (string): System button identifier (`"Back"`, `"Home"`, `"Menu"`, `"Enter"`). Required for `"system_button"`.
+      - `status` (string): The status of the terminated task (`"success"` or `"failure"`). Required only for `"terminate"`.
+  - `response`: String. Full model response including `<think>`, `<action>`, and `<tool_call>` XML tags.
+
+
+### Data Stats
+
+The dataset contains a total sample of **1,007 trajectories**, covering **28 different mobile applications**. The overall statistics are summarized in the following table:
+
+| App       | Total Samples | Trajectory Count |
+|-----------|---------------|------------------|
+| 28        | 3,924         | 1,007            |
+
+> 📌 **Note**: Each trajectory may contain multiple samples (steps), representing individual interactions during task execution.
+
+
+
+## Dataset Creation
+
+We have created a high-quality dataset comprising 24,521 manually annotated instances derived from 4,635 trajectories. 
+To facilitate the training and utilization of our dataset, focusing on Chinese mobile applications, we have open-sourced a sample of 1007 trajectories covering 28 different applications.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65fcec5e87942d0a209f7ea4/Xob56EAScZ8T-8CZJ58mW.png)